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Researchers recommend a reorganization of the medical profession into larger groups with a multispecialty mix. We analyze whether there is evidence for the superiority of these models and if this organizational transformation is underway.

We summarize the evidence on scale and scope economies in physician group practice, and then review the trends in physician group size and specialty mix to conduct survivorship tests of the most efficient models.

The distribution of physician groups exhibits two interesting tails. In the lower tail, a large percentage of physicians continue to practice in small, physician-owned practices. In the upper tail, there is a small but rapidly growing percentage of large groups that have been organized primarily by non-physician owners.

While our analysis includes no original data, it does collate all known surveys of physician practice characteristics and group practice formation to provide a consistent picture of physician organization.

Our review suggests that scale and scope economies in physician practice are limited. This may explain why most physicians have retained their small practices.

Larger, multispecialty groups have been primarily organized by non-physician owners in vertically integrated arrangements. There is little evidence supporting the efficiencies of such models and some concern they may pose anticompetitive threats.

This is the first comprehensive review of the scale and scope economies of physician practice in nearly two decades. The research results do not appear to have changed much; nor has much changed in physician practice organization.

The purpose of this study is to examine the impact of firm size on performance (measured as profits, growth, efficiency and liquidity) differences between family and non‐family small‐ to medium‐sized enterprises (SMEs).

The samples of 441 family and 473 non‐family firms were divided into four size groups and performance differences analysed for each size group using MANOVA.

The findings indicate that family SMEs perform at least as well as non‐family SMEs. Although the two types of firms shared several similar performance characteristics at the small level, certain differences were evident. Performance differences between family and non‐family SMEs became prominent at the critical growth phase (20‐49 employees), reached an optimum at 50‐99 employees and narrowed again thereafter. For family firms, the benefits of higher gross margins and efficient use of assets began to wane after 100 plus employees but the disadvantages of lower employee performance continued.

The study could be improved by a longitudinal examination of the same firms across various growth stages. Further, the findings may be industry‐specific and not generally applicable.

The findings show that greater resources do not necessary lead to better performance and that non‐family firms could benefit from more efficient use of resources. The findings also confirm that the benefits of the informal system are not sustainable at larger firm sizes and that larger family firms would benefit from improved management of employee performance.

The pattern of performance differences observed between family and non‐family SMEs is unique to the paper. The paper shows that differences in performance between the two types of firms noted in the literature do no hold at all firm sizes.

Observes that the group size of some US retail hardware cooperatives increased during the 1990s, as cooperative managements strove to increase the quantity and quality of group members. For example, a 1997 merger doubled the membership of one group. Large size was deemed necessary to achieve the economies of scope and scale needed to compete in an intense retail marketplace. Group research generally shows that large size has a negative impact on group dynamics. The current study examines size of retail hardware cooperative groups in relation to group identification, communication frequency, and relationship effectiveness. Findings show that size does not influence the relationships between the variables in the study. Also, a member’s level of group identification is a primary driver of perceptions of relationship effectiveness. The higher the identification with the group, the more effective the relationship is perceived to be by the member.

The purpose of this paper is to examine the threshold effect of group size on customer's complaining intention under group service failures.

Based on two main laboratory experiments, through two 10×2 scenario simulation experiments, the authors examine the role of group size in customer's complaining intention.

Results show that: (1) the relationship between group size and customer's complaining intention follows an inverted “U” type trend; (2) evaluation apprehension mediates the relationship between group size and customer's complaining intention; (3) relational distance can change threshold values and (4) relational distance moderates the relationship between group size and customer's complaining intention.

Managers should judge the threshold of group size through experience so as to have a preliminary understanding of customer evaluation concerns and complaint intention. In the face of service failure groups smaller than the threshold range, managers should divided the group into several small groups. For service failure groups larger than the threshold range, the opinion leaders in the group should be given more attention, so as to control the whole group.

This paper is helpful to deeply understand the key role of group size in the process of customer complaints, and also provides decision-making basis for service enterprises to deal with group customer complaints.

There has been little research about the threshold effect of group size on customer's complaining intention. The previous studies on customer's complaining intention focus on its influences on group size, and draw a single common conclusion that the customer's intention to complain will increase with the growing number of groups increases. However, few studies are explored on the threshold of group size. Therefore, this paper will focus on the threshold effect of group size on customer's complaining intention to fill the gap.

Social media platforms are increasingly used by activists to mobilize collective actions online and offline. Social media often provide visible information about group size through system-generated cues. This study is based on social cognitive theory and examines how visible group size on social media influences individuals' self-efficacy, collective efficacy and intentions to participate in a collective action among groups with no prior collaboration experiences.

A between-subject online experiment was conducted with a sample of 188 undergraduate participants in a large public university in the United States. Six versions of a Facebook event page with identical contents were created. The study manipulated the group size shown on the event page (control, 102, 302, 502, 702 and 902). Participants were randomly assigned to one of the six conditions and asked to read and assess an event page that calls for a collective action. Then their collective efficacy, self-efficacy and intentions to participate were measured.

The results showed that the system-aggregated group size was not significantly associated with perceived collective efficacy, but there was a curvilinear relationship between the group size and perceived self-efficacy. Self-efficacy partially mediated the relationship between group size and intentions to participate; collective efficacy did not.

The study contributes to social movement theories by moving beyond personal grievance and identity theories to examine how individuals' efficacy beliefs can be affected by the cues that are afforded by social media platforms. The study shows that individuals use system-generated cues about the group size for assessing the perceived self-efficacy and collective efficacy in a group with no prior affiliations. Group size also influenced individual decisions to participate in collective actions through self-efficacy and collective efficacy.

This paper aims to offer a theory on optimal group size. To overcome the problems of institutional credit facilities to the poor and marginal people, Joint Liability Group Lending (JLGL) is often considered as a better option. However, the literature in the field is surprisingly silent about the issue of group-size. This paper tries to fill the vacuum in a theoretical framework.

Using a standard theoretical model, this paper shows that even with costless peer monitoring, there exists an upper bound on the size of group, and this upper bound is exactly pinned down by the strength of the social sanction.

This paper shows that under reasonable specification of effort cost, as group size increases, both optimal cooperative effort level and the deviation incentive from that effort level rise monotonically for any individual borrower. Thus, given the strength of social sanction, the rising incentive for deviation uniquely determines the optimal group size even in absence of free riding in peer monitoring.

The theoretical results derived in the paper require empirical verification which is, however, tricky because of the problems associated with quantifying social sanctions.

This paper argues that the group size should be larger in more integrated communities which have better social cohesion among its members.

This paper shows that, for a given extent of joint liability the borrowers need to bear, the group size in joint liability group lending should be designed according to the strength of social sanction prevailing in the society to achieve social efficiency.

Data relating to group composition are collected in most sample surveys of visitors, both at frontiers and within a tourist region. A vital element is that of size of group. It is important that the distribution of group sizes within the population under consideration is reflected accurately by the sample, possibly after some weighting procedures. A sampling procedure which is biased in terms of size of group will provide biased results concerning any variable that is related to group size. In particular it would lead to false information on the proportions of different types of visitor (eg businessmen, who are more likely to travel alone than are holiday‐makers) and inaccurate estimates may therefore be produced of, say, expenditure. Marketing plans also often depend on results obtained for group composition.

Daniel and Titman (1997) contend that the Fama‐French three‐factor model’s ability to explain cross‐sectional variation in expected returns is a result of characteristics that firms have in common rather than any risk‐based explanation. The primary aim of the current paper is to provide out‐of‐sample tests of the characteristics versus risk factor argument. The main focus of our tests is to examine the intercept terms in Fama‐French regressions, wherein test portfolios are formed by a three‐way sorting procedure on book‐to‐market, size and factor loadings. Our main test focuses on ‘characteristic‐balanced’ portfolio returns of high minus low factor loading portfolios, for different size and book‐to‐market groups. The Fama‐French model predicts that these regression intercepts should be zero while the characteristics model predicts that they should be negative. Generally, despite the short sample period employed, our findings support a risk‐factor interpretation as opposed to a characteristics interpretation. This is particularly so for the HML loading‐based test portfolios. More specifically, we find that: the majority of test portfolios tend to reveal higher returns for higher loadings (while controlling for book‐to‐market and size characteristics); the majority of the Fama‐French regression intercepts are statistically insignificant; for the characteristic‐balanced portfolios, very few of the Fama‐French regression intercepts are significant.

The purpose of this paper is to analyze petite women’s body size and figure and investigate whether current petite sizing charts accurately reflect actual petit size women’s bodies. This study also categorizes petite women’s body shapes and suggests primary body measurements as a base size for each shape. The ultimate goal is to suggest fundamental body measurements for apparel companies to modify and improve their sizing.

This study used data from SizeUSA data to compare body measurements of 18-35-year-old petite women to regular women. The authors compared the results to measurement differences between petite and regular sizing charts of 14 apparel companies. Then, using the principal component analysis and cluster analysis, the authors classified petite women’s body shapes. Body measurements for each body type are contrasted with the current petite sizing charts, and then, the authors present differences as suggestions for modification and improvement of petite sizing.

Industry sizing system do not generally represent average petite size women preciously except for stature. Within the petite women, four body types were identified (top petite: 30.0 percent, bottom petite: 30.8 percent, regular petite: 23.6 percent, and plus size: 15.4 percent). Of the four groups, the ASTM D7878 generally represented the “top petite” sizing.

It is the first to analyze the industry petite sizing system utilizing population data and focus petite sizing for women aged 18-35. The authors believe this study could draw attention of the apparel industry, providing companies with ideas of how to improve their petite sizing for young women.

Pakistan has experienced financial liberalization with rapid ups and downs in economic growth due to domestic issues during the last 2 decades. Motivated by inconclusive and conflicting time-driven findings about the performance of the business groups, this study examines the performance of business groups in Pakistan for a relatively long period from 2003 to 2018.

The study uses 3,821 firm-year observations from non-financial firms listed on the Pakistan Stock Exchange (PSX). For the estimation, pooled ordinary least squares (OLS) with industry- and year fixed effects and two-step system generalized methods of moments (GMM) are used.

The study finds that group-affiliated firms outperform independent firms in accounting performance, while underperform in market performance. The outperformance is mainly driven by medium-sized business groups, while underperformance is driven by small and large business groups. Further, the study documents that the underperformance in terms of market performance of firms affiliated with small and large groups is greater before the economic downturn, while outperformance in terms of the accounting measure of firms affiliated with medium-sized groups is greater during the economic downturn. These findings support our time-driven concerns. Overall, the authors' findings are consistent with institutional and transaction cost theories.

Business groups are important channels to reduce market inefficiencies. Business groups may enhance the affiliated firms' resources and resistance capacity through active utilization of the internal capital market, specifically when market conditions are not ideal for affiliates. However, effective utilization of internal capital markets depends on group size. Therefore, investors should deliberate on the size of business groups and diversification within business groups.

The authors extend the literature by providing fresh evidence related to the performance of business groups in the Pakistani context while accounting for the role of the size of business groups.